What problem does it solve? Responding to peer-review comments for Nature-family and other high-impact journals requires answering every reviewer concern with traceable manuscript changes, professional tone, and zero fabricated evidence, which is time-consuming and error-prone to do manually. ## Core Features & Use Cases - Structured Response Drafting: Splits reviewer comments into stable IDs (R1.1, R2.1), classifies each by severity and category, and drafts an editor-readable point-by-point response letter with a strategy summary and change checklist. - Draft Auditing and Revision: Audits existing rebuttals for missing responses, defensive tone, unsupported claims, or untraceable manuscript changes, then rewrites them into professional language. - Bilingual Support: Accepts Chinese reviewer comments and author notes, producing English response letters with Chinese confirmation notes (中文核对) for unresolved actions. - Use Case: You receive a major revision decision where Reviewer 1 requests validation in an independent cohort and Reviewer 2 challenges your causal claims. The skill builds a comment-response tracker, drafts responses mapped to real manuscript locations, and flags missing evidence as AUTHOR_INPUT_NEEDED instead of inventing results. ## Quick Start Ask the AI to draft a point-by-point response letter for the attached reviewer comments and editor decision letter, including a strategy summary and a list of missing information I still need to supply.
